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The key elements that define AI-powered events

The key elements that define AI-powered events

AI-powered technology is constantly evolving to meet the priorities of event professionals.

It’s triggered a shift in how events enable businesses to meet their goals – even impacting the amount of marketing budget allocated to live shows.

Production, engagement, data analysis and overall experiences are improving – but what are the key elements of an AI-powered event?

Here’s what we’ll cover in this guide:

These are attributes that position AI-powered event platforms as the go-to medium for marketing. Read on for more.

Capitalizing on AI in Events with AI-recommended content

On-demand content recommended to attendees is an important attribute of AI-powered events.

Algorithms record attendees’ behaviors and interests to drive content recommendations that suit them.

This includes interest in specific products, brands, speakers, panels, workshops and more.

The algorithm takes relevant content that aligns with these interests and suggest it to attendees.

Exhibitors are then empowered to showcase high-value content designed to increase lead generation and peak brand interest.

They can optimize AI-recommended content to build the foundations for positive interactions with attendees before engaging with them.

Attendees are then given more opportunities to connect with brands they align with based on content consumed.

Discover more opportunities for personalized experiences with The AI Blueprint.

AI-driven product suggestions

AI-powered algorithms use insights from attendees to recommend relevant products and services.

A vital attribute of these intelligent algorithms is they enable exhibitors to expedite their lead-generation process and prioritize high-value leads to the front of the pipeline.

The tech gives both parties confidence when connecting by picking up on what attendees are interested in.

It means they know in advance which exhibitors have products or services relevant to their needs.

Meanwhile, exhibitors are put in a good position to connect with attendees who will more likely translate to high-value leads.

It also gives them confidence that the attendee is approaching them due to a specific interest in what their brand has to offer.

Most base-level brand awareness is now occurring pre-engagement due to AI and exhibitors can focus on expanding on this.

This streamlines conversations and empowers exhibitors to engage with more attendees.

Customizable attendee preferences

Not all AI-recommended content, products or exhibitor matches will be what the attendee wants.

This is why organizers need to provide a platform where the algorithm gives maximum preference control for the attendee.

Content recommended outside their preferences or interests results in attendees signaling the need to change what the algorithm is suggesting.

Continually learning and adapting to the evolving needs of both exhibitors and attendees is a critical element of AI in events.

It highlights the attendee’s required solutions, prioritizing their individual pain and passion points by removing irrelevant information. 

Remember – attendees want their event experience to be specifically personalized to them.

Event organizers are responsible for ensuring they receive the best experience through AI-assisted customization.

This includes the need to have some control over the content they consume, the exhibitors they engage with and the panels, speakers and workshops they attend.

Download the Event Tech Forecast 2025 to discover more about how AI is fueling this year’s events.

Connecting via AI-powered matchmaking

Each of these elements are key parts of AI-powered matchmaking.

Attendees are recommended brands who align with their product and service interests, but also with like-minded exhibitors who share their values.

Meanwhile, exhibitors are capitalizing on knowing visitors they are engaging with are further along the pipeline thanks to the algorithm.

A combination of real-time data, lead scoring and customized preferences enables exhibitors to optimize engagement to capture high-value leads.

AI matchmaking lays the groundwork for more attendee engagements at a faster pace, who are then more likely to convert into valuable opportunities and accelerate follow-up times.

The use of this technology in events is the definition of a win-win – but event organizers need to provide the right platform to bring all these attributes together seamlessly.

Maximize meaningful connections with AI in events through ExpoPlatform’s AI-Matchmaking.